Source Apportionment of PM2.5 Particles: Influence of Outdoor Particles on Indoor Environment of Schools Using Chemical Mass Balance

Abstract

Children have higher lung function than adults and they spend most of their day time in schools. Also, children studying at schools located in the vicinity of busy roadways are vulnerable to childhood asthma and respiratory disorders. The present study is focused on estimating the sources of PM 2.5 particles present in the indoor air quality in schools which are located adjacent to urban and suburban roadways. The indoor PM 2.5 samples from all the four schools were collected using fine dust sampler from 8 a.m. to 4 p.m. The sampling was carried out for one complete week during various seasons including both working and non-working days. , Na + using Ion Chromatography (IC). Source apportionment study using Chemical Mass Balance was carried out using the species concentration of the collected samples. The major sources were found to be Paved Road Dust, Soil Dust, Gasoline Vehicle Emissions, Diesel Vehicle Emissions and Marine Source Emissions. Among these, vehicular emissions contribution was found to be higher for the schools located close to roadways rather than the school located at a considerable distance from highway. The difference in source type contribution at each school clearly depicts the difference in nature of location and type of activities in the vicinity of the sampling sites.

Evaluating the variability, transport and periodicity of particulate matter over smart city Bhubaneswar, a tropical coastal station of eastern India

“…Transported pollutants at any site may also increase the load of contaminants, and the source-apportionment studies are found to be useful for finding the regions, which are responsible for transported pollution to any location (e.g. [25,40]). This situation, however, may be different at coastal stations during the winter season, where land-sea breeze interacts with the atmospheric boundary layer variation, and pollutants concentrations are changing during diurnal cycle (e.g.…”

Karakteristik Risiko Kesehatan Non Karsinogen Pada Remaja Siswa Akibat Pajanan Inhalasi Debu Particulate Matter <2,5 (PM2,5)

“…Jenis kegiatan mempengaruhi kadar PM 2,5 di wilayah tersebut. 8 Pemantauan konsentrasi Black Carbon dan PM 2,5 di beberapa kota besar di Indonesia dari bulan Januari-Desember 2011 didapatkan rata-rata konsentrasi PM 2,5 dan black carbon untuk area Bandung (PM 2,5 : 18,35µg/m 3 ) dan Jakarta (PM 2,5 : 16,50 µg/m 3 ) lebih tinggi dibandingkan dengan Yogyakarta (PM 2,5 : 8.78 µg/m 3 ). Kondisi ini menunjukkan polusi yang terjadi di Bandung dan Jakarta lebih tinggi daripada di Yogyakarta.…”

Spatiotemporal Variations of Indoor PM2.5 Concentrations in Nanjing, China

“…Moreover, most of the indoor PM 2.5 studies mainly focused on the indoor levels of PM 2.5 , source apportionment, and the indoor-outdoor relationship [17,18,19,28,29,30]. There has been little research on the spatial and temporal distributions of indoor PM 2.5 concentrations.…”